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Xihui Liang
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2020 – today
- 2023
- [j21]Wentao Mao, Gangsheng Wang, Linlin Kou, Xihui Liang:
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. IEEE CAA J. Autom. Sinica 10(2): 524-546 (2023) - [j20]Dawei Cheng, Zhong Lu, Jia Zhou, Xihui Liang:
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II. Reliab. Eng. Syst. Saf. 236: 109257 (2023) - [j19]Wentao Mao, Jiaxian Chen, Jing Liu, Xihui Liang:
Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition. IEEE Trans. Ind. Informatics 19(2): 1227-1237 (2023) - [j18]Wentao Mao, Keying Liu, Yanna Zhang, Xihui Liang, Zhijian Wang:
Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - [j17]Wentao Mao, Yu Wang, Linlin Kou, Xihui Liang:
A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c4]Ali Safian, Xihui Liang:
Bearing fault detection and fault size estimation using an integrated PVDF transducer. ICPHM 2023: 146-152 - 2022
- [j16]Yongbo Li, Fengshou Gu, Xihui Liang:
Information Theory and Its Application in Machine Condition Monitoring. Entropy 24(2): 206 (2022) - [j15]Sajad Saraygord Afshari, Fatemeh Enayatollahi, Xiangyang Xu, Xihui Liang:
Machine learning-based methods in structural reliability analysis: A review. Reliab. Eng. Syst. Saf. 219: 108223 (2022) - [j14]Sajad Saraygord Afshari, Shihao Cui, Xiangyang Xu, Xihui Liang:
Remaining Useful Life Early Prediction of Batteries Based on the Differential Voltage and Differential Capacity Curves. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j13]Yifan Li, Yaocheng Yang, Sajad Saraygord Afshari, Xihui Liang, Zaigang Chen:
Adaptive Cost Function Ridge Estimation for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j12]Wentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang:
An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j11]Wentao Mao, Huadong Shi, Gangsheng Wang, Xihui Liang:
Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2021
- [j10]Keying Liu, Wentao Mao, Huadong Shi, Xihui Liang:
A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. IEEE Access 9: 159684-159698 (2021) - [j9]Wentao Mao, Jiaxian Chen, Yuejian Chen, Sajad Saraygord Afshari, Xihui Liang:
Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j8]Wentao Mao, Yamin Liu, Ling Ding, Ali Safian, Xihui Liang:
A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - 2020
- [j7]Wentao Mao, Jiaxian Chen, Xihui Liang, Xinming Zhang:
A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching. IEEE Trans. Instrum. Meas. 69(2): 443-456 (2020)
2010 – 2019
- 2018
- [j6]Yongbo Li, Xianzhi Wang, Zhenbao Liu, Xihui Liang, Shubin Si:
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review. IEEE Access 6: 66723-66741 (2018) - [j5]Yongbo Li, Xihui Liang, Yu Wei, Xianzhi Wang:
A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis. Neurocomputing 315: 246-260 (2018) - [j4]Fuqiong Zhao, Zhigang Tian, Xihui Liang, Mingjiang Xie:
An Integrated Prognostics Method for Failure Time Prediction of Gears Subject to the Surface Wear Failure Mode. IEEE Trans. Reliab. 67(1): 316-327 (2018) - [c3]Yuejian Chen, Xihui Liang, Ming Jian Zuo:
Time series modeling of vibration signals from a gearbox under varying speed and load condition. ICPHM 2018: 1-7 - [c2]Wentao Mao, Siyu Tian, Xihui Liang, Jianliang He:
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. ICPHM 2018: 1-7 - 2017
- [j3]Zhong Lu, Xihui Liang, Ming Jian Zuo, Jia Zhou:
Markov process based time limited dispatch analysis with constraints of both dispatch reliability and average safety levels. Reliab. Eng. Syst. Saf. 167: 84-94 (2017) - [j2]Yongbo Li, Minqiang Xu, Xihui Liang, Wenhu Huang:
Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings. IEEE Trans. Ind. Electron. 64(8): 6506-6517 (2017) - [j1]Yongbo Li, Xihui Liang, Yuantao Yang, Minqiang Xu, Wenhu Huang:
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence. IEEE Trans. Instrum. Meas. 66(11): 3077-3090 (2017) - [c1]Yining Fang, Xihui Liang, Ming Jian Zuo:
Effect of sliding friction on transient characteristics of a gear transmission under random loading. SMC 2017: 2551-2555
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